Triple

T12339766
Position Surface form Disambiguated ID Type / Status
Subject Adrian D. Smith E294189 entity
Predicate designed P184 FINISHED
Object Zifeng Tower E372583 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zifeng Tower | Statement: [Adrian D. Smith, designed, Zifeng Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zifeng Tower
Context triple: [Adrian D. Smith, designed, Zifeng Tower]
  • A. Zifeng Tower chosen
    Zifeng Tower is a supertall skyscraper in Nanjing, China, notable for its mixed-use design and distinctive, tapering form on the city’s skyline.
  • B. Jiaxiu Tower
    Jiaxiu Tower is a historic riverside pavilion in Guiyang, China, renowned for its classical Chinese architecture, cultural significance, and scenic views.
  • C. Guangyue Tower
    Guangyue Tower is a historic multi-story pavilion and landmark in Liaocheng, Shandong Province, known for its traditional Chinese architecture and cultural significance.
  • D. Yuejiang Tower
    Yuejiang Tower is a historic Ming-style pavilion and scenic overlook in Nanjing, China, renowned for its classical architecture and panoramic views of the Yangtze River and the ancient city.
  • E. Yangsan Tower
    Yangsan Tower is a prominent observation and landmark tower in Yangsan, South Korea, offering panoramic views of the surrounding city and landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346c06208190b4e39fcbdb6a06fa completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.